Our 2-month Tableau Data Visualization course module at Educational Excellence includes the following topics:
Introduction to Tableau and Data Visualization
Connecting to data sources and importing data
Creating basic charts and visualizations
Understanding data types and dimensions
Using filters and parameters
Formatting charts and visualizations
Sharing your work with others
Creating more advanced charts and visualizations
Using calculations and user-defined fields
Building dashboards and stories
Troubleshooting common problems
Best practices for data visualization
In addition to these core topics, the course may also cover specialized topics such as:
Mobile data visualization
Tableau Server and Tableau Online
The course would likely include hands-on exercises and projects. Students have opportunity to learn from our experienced Tableau instructors and practice their skills on real-world data sets.
Here are some of the key topics that will be cover in the course:
Introduction to Tableau and data visualization: Students would learn the basics of Tableau, including the interface, terminology, and different types of visualizations. They would also learn about the importance of data visualization and how to use it to communicate insights effectively.
Connecting to data sources and importing data: Students would learn how to connect Tableau with different data sources such as Excel, CSV, and SQL databases. They would also learn “how to import data into Tableau” and prepare it for analysis.
Creating basic charts and visualizations: Students would learn how to create a variety of basic charts and visualizations in Tableau, such as bar charts, line charts, pie charts, and histograms. They would also learn how to customize these visualizations to meet their needs.
Understanding data types and dimensions: Students would learn about the different types of data in Tableau, such as discrete and continuous data. They would also learn about the difference between dimensions and measures and how to use them to create an effective visualizations.
Using filters and parameters: Students would learn how to use filters, parameters to control what data will display in their visualizations. It will allow them to drill down into their data and focus on specific areas of interest.
Formatting charts and visualizations: Students would learn how to format their charts and visualizations to make them more visually appealing and easier to interpret. This would include things like changing the colors, fonts, and labels.
Sharing your work with others: Students would learn how to share their Tableau work with others both within their organization and externally. This would include things like publishing their work to Tableau Server or Tableau Online and exporting their visualizations to other formats.
Creating more advanced charts and visualizations: Students would learn how to create more advanced charts and visualizations in Tableau like scatter plots, heatmaps, and Gantt charts. They will also learn “how to use multiple dimensions and measures in their visualizations.”
Using calculations and user-defined fields: Students would learn how to use calculations and user-defined fields to create new variables and transform their data. This would allow them to perform more complex analyses and create more insightful visualizations.
Building dashboards and stories: Students would learn how to build dashboards and stories in Tableau. Dashboards are interactive layouts that allow users to view multiple visualizations at once and to drill down into their data. Stories are a way to present your data in a narrative format, with text and images to accompany your visualizations.
Troubleshooting common problems: Students would learn how to troubleshoot common problems that can arise when using Tableau. It would include things like fixing errors in their data and formatting their visualizations correctly.
Best practices for data visualization: Students would learn about best practices for data visualization, such as choosing the right chart type, using clear and concise labels, and avoiding visual clutter.
By the end of the course, students will have the skills and knowledge they need to create an effective and informative data visualizations using Tableau. They would be able to connect to different types of data sources, prepare data for analysis, create a variety of charts and visualizations, and share their work with others.
Course Duration: 2 Months (16 Classes)
Fees: INR 4500/-